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Claude Alt ⚡

A self-hosted, Claude.ai-inspired AI agent built on free LLM APIs — no subscriptions required. Runs on Railway (or any Docker host) and automatically falls back across 9+ providers when rate limits hit.

Live: claude-alt-production.up.railway.app
Org: The-No-Hands-company


What it does

  • Chat with a capable AI agent backed by Groq, Gemini, Mistral, Cerebras, OpenRouter, Cohere, GitHub Models, Grok and more
  • Agent can search the web, read/write/commit code, clone GitHub repos, run commands, generate images and more — all via a tool-calling loop
  • Auto-fallback: hit a rate limit on one provider → silently moves to the next
  • Smart routing: complex coding tasks get routed to the strongest available model; simple questions go to the fastest/cheapest
  • Fully installable as a PWA on mobile and desktop

Stack

Layer Tech
Backend Python 3.12, FastAPI, Uvicorn
Agent loop Custom streaming SSE agent with tool-call loop
Deployment Docker, Railway
Frontend Vanilla JS, Marked.js, Highlight.js

Quickstart (Railway)

  1. Fork this repo
  2. Create a new Railway project → Deploy from GitHub repo
  3. Add environment variables (see below)
  4. Deploy — app starts on the assigned Railway domain

Environment Variables

Variable Required Description
PROVIDER Yes auto (recommended) or a specific provider id
GROQ_API_KEY Recommended console.groq.com/keys — 14,400 req/day free
GEMINI_API_KEY Recommended aistudio.google.com/apikey — 1,500 req/day free
CEREBRAS_API_KEY Optional cloud.cerebras.ai
MISTRAL_API_KEY Optional console.mistral.ai
OPENROUTER_API_KEY Optional openrouter.ai/settings/keys
COHERE_API_KEY Optional dashboard.cohere.com
GITHUB_MODELS_TOKEN Optional github.com/settings/tokens — fine-grained, Models: read
NVIDIA_API_KEY Optional build.nvidia.com
GROK_API_KEY Optional console.x.ai (paid)
CLAUDE_API_KEY Optional console.anthropic.com (paid)
GH_TOKEN Optional GitHub PAT for default repo push access
GITHUB_REPO Optional Default repo URL for git operations
RATE_LIMIT_COOLDOWN Optional Seconds to cool a rate-limited provider (default: 60)

LLM7.io requires no key and is always available as a last-resort fallback.


Providers & Fallback Chain

When PROVIDER=auto, providers are tried in this order (first available wins):

1. LLM7.io        — keyless, always available (DeepSeek R1 7B)
2. Groq           — llama-3.3-70b-versatile,  14,400 RPD free
3. Cerebras       — llama-3.3-70b,             30 RPM free
4. Google Gemini  — gemini-2.0-flash,          1,500 RPD free
5. Mistral AI     — mistral-small-latest,       1B tok/mo free
6. OpenRouter     — llama-3.3-70b:free,         20 RPM free
7. Cohere         — command-r-plus,             1K req/mo free
8. GitHub Models  — Llama-3.3-70B,             150 RPD free
9. Grok (xAI)     — grok-3                     (paid)
10. Claude        — claude-sonnet-4             (paid)

Smart routing: tasks scored as high / medium / low complexity. High-complexity tasks (new projects, architecture, full implementations) skip cheap providers and try Claude/Grok/Gemini first.


Agent Tools

Built-in (no API key, instant)

Tool What it does
get_time Current time in any timezone, with aliases (e.g. "Sweden")
calculate Safe math eval with full math module
weather Current weather via wttr.in (no key)
currency Live exchange rates via open.er-api.com (no key)
convert 30+ unit conversions (length, weight, volume, temp, data)
regex Test regex patterns with match highlighting
base64 Encode / decode
json_format Pretty-print and validate JSON
generate_image Image generation via Pollinations.ai/flux (no key)

File & repo tools

Tool What it does
write_file Write file to session workdir; HTML/SVG renders as artifact
read_file Read file contents (up to 300 lines preview)
list_files Glob file listing
delete_file Delete a file
clone_repo Clone any GitHub repo (public or private with token)
run_command Sandboxed shell — 256MB RAM cap, 10s CPU, 60s timeout
commit_push Stage, commit and push to the target repo

Reasoning tools

Tool What it does
think Internal reasoning step (shown as 💭 in UI)
plan Announce a build plan before executing (shown as 📋 card)
clarify Ask the user focused questions before a complex task
web_search DuckDuckGo search, top 5 results
respond Final answer (ends the loop)

Agent Personas

Switch between modes from the strip below the header:

Persona Best for Temp Provider tier
🤖 Assistant General questions, daily tasks 0.2 Medium
💻 Coder Code, architecture, debugging 0.1 High (best model first)
🔬 Researcher Facts, deep dives, citations 0.3 High
🎨 Creative Writing, storytelling, image prompts 0.8 Medium

Features & Roadmap

See ROADMAP.md for a full breakdown of what's implemented, what's in progress, and what's planned.

About

My test to do a claude.ai-like tool-augmented agent

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